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In the recent Basel Accords, the Expected Shortfall (ES) replaces the Value-at-Risk (VaR) as the standard risk measure for market risk in the banking sector, making it the most important risk measure in financial regulation. One of the most challenging tasks in risk modeling practice is to backtest ES forecasts provided by financial institutions ...
Qiuqi Wang, Ruodu Wang, Johanna Ziegel
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Background: Stock investment has been gaining momentum in the past years due to the development of technology. During the pandemic lockdown, people have invested more. One the one hand, stock investment has high potential profitability, but on the other,
Brina Miftahurrohmah +2 more
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Validating the backtests of risk measures [PDF]
Paper presented at INFINITI Conference on International Finance 11-12 June 2007, Trinity College Dublin. Also presented at Financial Management Association Annual Meeting, Orlando, Florida , 18-20 October 2007Financial risk model evaluation or ...
Cotter, John, Zhong, Yan Ping
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Elicitability and backtesting: Perspectives for banking regulation [PDF]
Conditional forecasts of risk measures play an important role in internal risk management of financial institutions as well as in regulatory capital calculations.
Natalia Nolde +3 more
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Forecasting Value-at-Risk under Different Distributional Assumptions
Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. These features must be taken into account to produce accurate forecasts of Value-at-Risk (VaR).
Manuela Braione, Nicolas K. Scholtes
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The Value at Risk (VaR) method refers to a statistical risk measurement tool used to determine the maximum loss of an investment, while the distribution that must be met is the normal distribution.
Alimatun Najiha +2 more
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Sensitivity Analysis of Two-Step Multinomial Backtests for Evaluating Value-at-Risk [PDF]
Objective: Nowadays, the measurement of the risk of the marketplace has a significant effect on investments; however, the inadequate evaluation of this risk will cause a financial crisis and possible bankruptcy.
Mohamad Ali Rastegar, Mehdi Hemati
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Backtesting macroprudential stress tests [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramadiah, A, Fricke, D, Caccioli, F
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Intraday volatility and VaR: an evidence from the construction sector [PDF]
This article presents the outcomes from the estimation of the multiplicative component GARCH model for intraday data from the construction sector in Poland.
Krzysztof Drachal
doaj
Nonparametric Estimation of Range Value at Risk
Range value at risk (RVaR) is a quantile-based risk measure with two parameters. As special examples, the value at risk (VaR) and the expected shortfall (ES), two well-known but competing regulatory risk measures, are both members of the RVaR family. The
Suparna Biswas, Rituparna Sen
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